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AI-based Business Process Risk Management System and Methods

This invention relates to the field of business process risk management technology, specifically to an artificial intelligence-based business process risk management system and method. It includes a node segmentation module, a region segmentation module, a model building module, a threshold optimization module, and a risk assessment module. The node segmentation module acquires process data from all of an enterprise's business operations, segments the process data into process nodes, and extracts the risk materials, normal materials, and applicants corresponding to each process node. Through a multi-module collaborative closed-loop design, it effectively solves many shortcomings of existing technologies. Firstly, it significantly improves the accuracy of risk identification. Secondly, by adapting node-specific semantic models and combining the review attributes of process nodes to extract semantic features in a customized manner, it avoids the semantic generalization problem of general models.
Owner:XIAMEN UNIV OF TECH